Evidence map›Paper›PMID 40486475›Full record

ArticleCureus2025

Impact of Global Sagittal Spinal Alignment on Degenerative Lumbar Scoliosis.

Hideya Yamauchi, Kenji Endo, Yasunobu Sawaji, Hirosuke Nishimura, Kengo Yamamoto

Abstract read
In one paragraph

Article in Cureus, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Hideya YamauchiOrthopedic Surgery, Tokyo Medical University, Tokyo, JPN.
Kenji EndoOrthopedic Surgery, Tokyo Medical University, Tokyo, JPN.
Yasunobu SawajiOrthopedic Surgery, Tokyo Medical University, Tokyo, JPN.
Hirosuke NishimuraOrthopedic Surgery, Tokyo Medical University, Tokyo, JPN.
Kengo YamamotoOrthopedic Surgery, Tokyo Medical University, Tokyo, JPN.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn spine surgery, understanding the balance between sagittal and coronal planes, taking both spinal alignment and pelvic orientation into account, is crucial. The purpose of this study was to clarify the influence of pelvic incidence (PI) on spinopelvic parameters in patients with degenerative lumbar scoliosis (DLS) by comparing them to those without DLS.

methodThe subjects were 259 patients (146 men and 113 women, mean age 69.4 years) who underwent surgery in our department between January 2010 and August 2018. The nonscoliosis group (N group, Cobb angle: 0°-9°; n = 161) and the scoliosis group (S group, Cobb angle: 10°-29°; n = 98) were used to compare their spinal alignments.

resultRegarding the parameters of sagittal spinal alignment, lumbar lordosis (LL) (N group 35.3 ± 12.5°; S group 31.6 ± 14.9°) was significantly smaller (p < 0.05) and PI (N group 46.6 ± 11.6°; S group 52.3 ± 12.1°) and PI-LL (N group 11.8 ± 14.3°; S group 21.0 ± 17.5°) were significantly larger (p < 0.001) in the S group than in the N group. Positive correlations were observed between Cobb angle and sagittal vertical axis (SVA), pelvic tilt (PT), PI, and PI-LL, and a negative correlation was observed between Cobb angle and LL.

conclusionThe incidence of DLS in middle-aged and older patients is related to PI, and the coronal Cobb angle is positively correlated with PI and PI-LL and is negatively correlated with LL. Coronal deformity could be affected by both pelvic orientation and sagittal spine alignment.

Indexed as

coronal spine alignmentdegenerative lumbar scoliosisdiagnosislumbar spinal canal stenosispelvic incidencesagittal spine alignment

Identifiers

PMID40486475
PMCPMC12143746

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.